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Research Python Jobs in Indiana (NOW HIRING)

Corteva Agriscience

Associate Investigator

Indianapolis, IN · On-site

$44K - $44K/yr

Designs and conducts research across multiple project areas using in-depth knowledge and proactive ... Experience in Python/programming, data science experience (PCA/PLS). * Experience in PLS ...

Corteva, Inc.

Associate Investigator

Indianapolis, IN · On-site

$44K - $44K/yr

Designs and conducts research across multiple project areas using in-depth knowledge and proactive ... Experience in Python/programming, data science experience (PCA/PLS). * Experience in PLS ...

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Research Python information

What is a Research Python developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What are the key skills and qualifications needed to thrive as a Research Python developer?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong community support, making it well-suited for data analysis, scientific computing, and automation tasks. Proficiency in libraries like NumPy, pandas, and SciPy is often essential for research roles involving data processing and modeling.

Which research Python job is in demand?

Research Python roles in data science, machine learning, and artificial intelligence are currently in high demand due to the growing reliance on data-driven decision-making. These positions often require strong programming skills, knowledge of libraries like NumPy and pandas, and experience with statistical analysis or modeling. Employers seek candidates with relevant experience, often supported by certifications or advanced degrees in related fields.

What are popular job titles related to Research Python jobs in Indiana?

For Research Python jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Research Python jobs in Indiana look for?

The top searched job categories for Research Python jobs in Indiana are:

What cities in Indiana are hiring for Research Python jobs?

Cities in Indiana with the most Research Python job openings:

Research Python jobs near you
Infographic showing various Research Python job openings in Indiana as of August 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 100% In-person job distribution.

Student | Data Science Intern - Mendoza Research Team

University of Notre Dame

Notre Dame, IN • On-site

$15/hr

Full-time, Internship

Posted 6 days ago

University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

338th of 622 rated colleges and universities

Job description

Company Description
The University of Notre Dame is more than a workplace! We are a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person-mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University's mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!
Job Description
About the Role The Mendoza Research Team provides the technical and quantitative backbone for faculty research across Accountancy, Finance, IT Analytics & Operations (ITAO), Marketing, and Management & Organization (MNO).
As a Research Data Science Intern, you will work directly alongside our team of full-time data scientists to support active, high-impact faculty research projects. This is a hands-on, highly collaborative role designed to offer direct mentorship, build your applied technical toolkit, and give you real-world experience in data pipelines and statistical modeling.
Key Responsibilities
  • Data Engineering & Preparation: Clean, merge, and validate complex research datasets, including financial/market data, administrative records, survey results, and web-scraped data.
  • Statistical Modeling: Assist in building, testing, and refining statistical and machine learning models.
  • Code Optimization & Reproducibility: Write clean, reproducible code using standard data science languages (primarily Python and R).
  • Data Visualization: Design intuitive charts, plots, and summary tables to communicate findings effectively.
  • Documentation & Version Control: Maintain clear documentation, data dictionaries, and organized code repositories using Git workflows.
  • Faculty Collaboration: Participate in team check-ins and contribute to technical discussions with faculty researchers.

What We Are Looking For:
  • Currently enrolled Higher Education student in good academic standing.
  • Proficiency in Python or R for data manipulation and analysis.
  • Familiarity with data cleaning, basic statistical methods, and visualization tools.
  • Strong attention to detail and an interest in academic or quantitative research.
  • Experience with Git/GitHub, SQL, or web scraping is a plus, but not required.

Qualifications
Required:
  • Currently enrolled undergraduate student, any major
  • Coursework in statistics, econometrics, computer science, or analytics
  • Working proficiency in Python or R
  • Comfortable with (or eager to learn) tools like SAS, SQL, and Git
  • Strong attention to detail and ability to follow data handling/confidentiality protocols
  • Available for 15-20 hours/week

Preferred:
  • Coursework in machine learning, causal inference, or experimental design
  • Experience with large or messy real-world datasets
  • Prior research assistant experience

How to Apply:
Please submit:
  1. A current resume/CV
  2. A brief cover note (a few sentences on why you're interested and any relevant coursework or projects)
  3. An unofficial transcript
  4. (Optional) A code sample or class project you're proud of

Additional Information
  • Compensation: Starting at $15/hour
  • Location: On-campus
  • Hours: 15-20 hours/week during the academic term. We will work to structure your schedule around your academic requirements.
  • Duration: Starting Fall 2026

This position is accepting applications until September 2, 2026.
The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.

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